Adam Zlatniczki

Lead Data Scientist PDU Data & Analytics

Budapest, Hungary
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Summary

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Senior
🎓
Top School
Adam Zlatniczki is a Lead Data Scientist with eight years of experience applying AI/ML to telecom problems at Ericsson while completing a PhD in Economic Dynamics and Causal Discovery. He drives cross-organization MLOps strategy, industrializes anomaly detection solutions, and has authored multiple patents and probabilistic models used for synthetic data simulation and testing. His background spans high-performance data pipelines, causal inference for neuroscience, and cryptanalysis-style traffic analytics, reflecting a knack for marrying rigorous theory with production-grade engineering. Outside work he builds AI-driven loan planning and smart home automation projects, illustrating a practical curiosity for optimization and distributed computation. Colocated in Budapest, he champions reproducible data-science practices—CI/CD, devcontainers, and code review—to scale research into measurable business value.
code8 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Economic dynamics Financial engineering Causal discovery, Doctor of Philosophy (Ph.D.) Economic dynamics Financial engineering Causal discovery at Budapest University of Technology and Economics
languagesHungarian, English, German
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Github Skills (21)

exceptions10
handlers10
parsing10
specification10
jupyter-extension10
jupyter9
relation9
zigbee9
home-assistant9
home-automation9
vscode8
vscode-extension8
dynamical-systems7
machine-learning7
causal7

Programming languages (3)

TypeScriptC++Python

Github contributions (5)

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This project contains the implementation of the Dimensional Causality method proposed in Benko, Zlatniczki, Fabo, Solyom, Eross, Telcs & Somogyvari (2018) - Exact Inference of Causal Relation in Dynamical Systems.
Contributions:75 commits, 1 PR, 17 pushes in 10 months
dynamical-systemscausalinferencemethoddimensional
Contributions:5 pushes in 2 years 1 month
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